What It Does
XML data exchange specifications (such as SIF for the education market) enable applications to exchange data, so that once it is made available in one place, it can be put to good use everywhere else as well. In the process, valuable information from all sorts of applications crosses the interoperability “zone.” We recognize this flow as an asset in and of itself, and we tap into it with Veracity.
The Repository and Data Quality Management
Veracity is our unique repository of exchanged, standardized objects. It leverages the infrastructure’s event and request/response facilities to keep an up-to-date snapshot of the current status of all objects being exchanged. Once in Veracity, it doesn’t matter whether the data came from a transportation system or a food services system, it is available from one place under one data schema.
When it comes to making decisions based on your district’s data, one of the biggest challenges to overcome is that of data integrity. Can you trust your data? Is it accurate and dependable?
One of the fundamental goals in data integrity management is to move the correction of data errors back to the source. In an education environment, for example, when census data is being prepared at a school district, the IT staff collects the data from the various systems in the school, matches up the records, cleans them, formats the result, and then submits it. This cycle is repeated several times during the school year. Many times the same error is corrected over and over because it gets fixed in the CSV file instead of the source system.
This is why we have created Veracity. The Veracity approach is the following:
- Establish a common repository that always reflects the current state of the data in the source applications (Veracity).
- Monitor the quality of the data by applying a set of rules and looking for problem areas.
- Notify the owner of the data in question so that it can be corrected in the source application.
- Use the data from the repository as the source for state reports, cross-application reports or as a feed into a data warehousing system.
By moving the correction of the problem back to the source of the error:
- All applications in the zone benefit from the better-quality data.
- The data is changed only once and in one place.
- Your data becomes more reliable, giving you more confidence in decisions you make that results from the data’s analysis.
See if you can rely on your data. The first thing to know is how close the quality of your data is to the standards defined by your organization.
Veracity’s rule set articulates your district’s data quality rules, applies them against data collected from the connected systems and shows you where your district’s data falls short.
These rules can be checked on a scheduled basis or in real time as data is published.